Model save

README.md

@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1503
-- F1 Macro: 0.9566
-- F1: 0.9688
-- F1 Neg: 0.9444
-- Acc: 0.96
-- Prec: 0.9612
-- Recall: 0.9764
-- Mcc: 0.9134
+- Loss: 0.1995
+- F1 Macro: 0.9526
+- F1: 0.9657
+- F1 Neg: 0.9396
+- Acc: 0.9563
+- Prec: 0.9610
+- Recall: 0.9705
+- Mcc: 0.9054
 
 ## Model description
 
@@ -55,16 +55,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| No log        | 1.0   | 400  | 0.1503          | 0.9566   | 0.9688 | 0.9444 | 0.96   | 0.9612 | 0.9764 | 0.9134 |
-| 0.2729        | 2.0   | 800  | 0.1966          | 0.9494   | 0.9643 | 0.9345 | 0.9537 | 0.9469 | 0.9823 | 0.9000 |
-| 0.0926        | 3.0   | 1200 | 0.1825          | 0.9565   | 0.9688 | 0.9443 | 0.96   | 0.9595 | 0.9783 | 0.9134 |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
-- Pytorch 2.2.0+cu121
-- Datasets 2.16.1
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
 - Tokenizers 0.15.2